Astronomaly Protege: Discovery through Human-machine Collaboration
Modern telescopes generate catalogs of millions of objects with the potential for new scientific discoveries, but this is beyond what can be examined visually. Here we introduce ASTRONOMALY: PROTEGE, an extension of the general-purpose machine-learning-based active anomaly detection framework ASTRON...
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Main Authors: | Michelle Lochner, Lawrence Rudnick |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | The Astronomical Journal |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-3881/ada14c |
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